The flowshop group scheduling problem (FGSP) has become a hot research problem owing
to its practical applications in modern industry in recent years. The FGSP can be regarded …

With the industry's rapid shift to large-scale personalized development, the need for a
ramose multi-agent system capable of flexible job shop scheduling problem (FJSP) is …

In this study, a fuzzy flexible job shop scheduling problem with variable processing speeds
is considered. To address this problem, a multi-objective hybrid evolutionary immune …

A new optimization algorithm based on an improved imperialist competitive algorithm (ICA-
DE) is proposed to reduce the energy consumption of a multi-chiller system. The …

As the main link of the rapidly developing prefabricated construction industry, the production
of precast components (PCs) has become a research hotspot. Therefore, the distributed …

Recessive disturbance can gradually lead to machine idling and production status deviation.
Its instant influence on system performance is often insignificant. Still, it can be accumulated …

Research in robotic scheduling has gained significant focus, especially for multi-factory
manufacturing systems. In addition, production orders should be considered during the …

The automatic guided vehicle (AGV) scheduling problem in matrix manufacturing workshop
has been a research hotspot in recent years because of its wide industrial applications …

Automated Guided Vehicles (AGVs) have found widespread application in discrete
manufacturing systems. In flexible job-shop environments, the integrated scheduling of …

Power demand prediction for buildings at a large scale is required for power grid operation.
The bottom-up prediction method using physics-based models is popular, but has some …